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Teamficient

AI Engineer — Conversational, Voice & Call Intelligence (Project Based)

Posted 5 days ago
Worldwide
2-5 years experience
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AI Summary

The engineer will design and build conversational AI systems including outbound voice, chatbots, and call-audit intelligence. They are responsible for integrating these systems with CRM platforms and ensuring data security standards are maintained.

This is a remote position.

 AI Engineer — Conversational, Voice & Call Intelligence (Project Based)
Covers: AI Call Outbound + Chatbot (Tech/Sales Support) + AI Call Audit & Evaluation
Company: TeamFicient
Location: Remote
Employment Type: Contract — Project-Based, Fixed-Scope
Rate: Proposed by candidate via RFQ (rate, timeline, and estimated hours)
Work Schedule:

  • Self-directed, solo execution of the full project scope

  • IT agent touchpoints and management check-ins only as needed to review progress

  • Timeline and hours are proposed by the candidate in their RFQ

Why Join Us?
At TeamFicient, our team spans multiple countries and regions, and we stay connected by operating within EST, CST, and PST time zones.

  • Work Without Borders: Collaborate daily with experts from worldwide and gain international exposure.

  • Built for Remote: Join a fully remote culture designed for autonomy, flexibility, and trust.

  • Diverse Perspectives: Be part of a multicultural team where different backgrounds are our greatest strength.

  • Grow Globally: Expand your career on a global stage, learning how business works across different cultures and continents.

About the Role
TeamFicient is looking for an AI Engineer to build our conversational-AI stack: outbound voice, chatbot, and call-audit/intelligence systems. All three projects share the same core stack — LLM integration, telephony/audio pipelines, and CRM/API integration — so a strong conversational-AI/ML engineer can move across all three. This is a solo, fixed-scope engagement: you own execution end to end, with IT touchpoints and management check-ins only as needed. You'll submit your own RFQ (proposed approach, timeline, hours, and cost) as part of the process.

Core Responsibilities
Voice & Chat Build

  • Design dynamic (non-scripted) conversation flows for outbound sales/follow-up calls and a support/sales chatbot, including intent handling, objection handling, and human escalation logic

  • Build knowledge-base structures and content-update processes for the chatbot

Call Intelligence

  • Transcribe and evaluate existing calls (Zoom Phone / AWS workflow) — scoring tone, sentiment, professionalism, and compliance against defined QA criteria

Integration & Architecture

  • Integrate call/chat outcomes, transcripts, and summaries with GoHighLevel and/or CRM systems

  • Design for future portability across telephony providers (8x8, Vonage, RingCentral, Ooma) and future client-facing deployment

  • Maintain restricted access and data-protection standards for customer call data

Candidate Qualifications
Must-Haves

  • Experience building conversational AI systems (voice and/or chat) on an LLM platform — not just scripted IVR/decision-tree bots

  • Experience with audio transcription and speech-based AI pipelines (OpenAI, Gemini, AWS, or similar)

  • CRM/telephony API integration experience (GoHighLevel or comparable)

  • Strong understanding of data security/restricted-access handling for call recordings

Good to Haves

  • Experience with sentiment/speech analytics tooling specifically

  • Prior work productizing an internal AI tool for external/client use

  • VoIP/telephony API experience (Twilio, Vonage, etc.) beyond GHL

Application Requirements
To apply for this project, please be prepared to submit:

  • A portfolio of relevant, comparable work

  • An RFQ (Request for Quotation) covering:

    • What you propose to do

    • How you would do it

    • What's included (and what's excluded)

    • Estimated timeline and hours

    • Total cost, plus any additional/recurring costs

    • What you'll need from TeamFicient to execute

    • Risks, limitations, and assumptions

  • Willingness to sign an NDA and Project Agreement before receiving full project details and credentials

  • Willingness to undergo a background check

Work Location: Remote



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